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射线检测图像中焊缝和缺陷的提取方法
引用本文:张晓光,孙正,胡晓磊,宦宇越.射线检测图像中焊缝和缺陷的提取方法[J].焊接学报,2011,32(2):77-80.
作者姓名:张晓光  孙正  胡晓磊  宦宇越
作者单位:1. 中国矿业大学,机电工程学院,江苏,徐州,221116;哈尔滨工业大学,现代焊接生产技术国家重点实验室,哈尔滨,150001
2. 枣庄学院,物理与电子工程系,山东,枣庄,277160
3. 中国矿业大学,机电工程学院,江苏,徐州,221116
基金项目:现代焊接生产技术国家重点实验室基金资助项目; 江苏省高技术研究基金资助项目(BG2007013)
摘    要:针对射线检测图像中焊缝和缺陷难于准确检测提取问题,基于逐级局部化处理,提出了一种实用的检测方法.方法充分利用了图像本身已包含的信息,首先通过条带区域特征检测确定焊缝区域在原始图像中的大致位置,然后通过列灰度波形分析确定焊缝边界和缺陷所在的局部区域,并粗分标记区域类型为非裂纹类和裂纹类,最后分别采用基于分水岭变换和Bea...

关 键 词:射线检测图像  焊缝  缺陷提取  分水岭变换  子束变换
收稿时间:2009/5/19 0:00:00

Extraction method of welding seam and defect in ray testing image
ZHANG Xiaoguang,SUN Zheng,HU Xiaolei and HUAN Yuyue.Extraction method of welding seam and defect in ray testing image[J].Transactions of The China Welding Institution,2011,32(2):77-80.
Authors:ZHANG Xiaoguang  SUN Zheng  HU Xiaolei and HUAN Yuyue
Affiliation:ZHANG Xiaoguang1,2,SUN Zheng3,HU Xiaolei1,HUAN Yuyue1 (1.College of Mechanical and Electrical Engineering,China University of Mining and Technology,Xuzhou 221116,China,2.State Key Laboratory of Advanced Welding Production Technology,Harbin Institute of Technology,Harbin 150001,3.Physics & Electronic Engineering Department,Zaozhuang University,Zaozhuang 277160,China)
Abstract:A practical detection method,which takes advantage of the information contained in the image itself,is presented based on local treatment gradually for attacking the difficulties in accurately detecting and extracting weld seam and defect in ray testing image.First of all,the approximate location of the weld zone in the original image is determined by detecting the regional characteristics of bands;then,the local area where the weld boundaries and defect are in is determined by analyzing gray column wavefor...
Keywords:ray testing image  welding seam  defect extraction  Watershed Transform  Beamlet Transform  
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